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浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Pathways linking watershed development and riparian quality to stream water quality and fish communities: Insights from 233 subbasins of the Great Lakes region 期刊论文  OAI收割 WATER RESEARCH, 2024, 卷号: 261, 页码: 12 作者:  Zhou, Yuhan;  Liu, Xiaofeng;  Zhao, Gang;  Zuo, Chen;  Alofs, Karen   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/10/08 Fish community  Water quality  Biodiversity  Land cover  Riparian zone  Structural equation model   The quality factor of quartz DETF for resonant sensors: simulation, analysis and verification 期刊论文  OAI收割 Journal of Micromechanics and Microengineering, Journal of Micromechanics and Microengineering, 2021, 2021, 卷号: 31, 31, 期号: 11, 页码: 13, 13 作者:  Li,Cun;  Zhang,Quanwei;  Zhao,Yulong;  Tian,Chuan;  Li,Bo   |  收藏  |  浏览/下载：44/0  |  提交时间：2021/11/16 resonant sensor  resonant sensor  quality factor  quartz DETF  structural damping  air damping  quality factor  quartz DETF  structural damping  air damping   Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218 作者:  Wen-Han Zhu;  Wei Sun   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/04/22 Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction   Perceived Quality of Urban Wetland Parks: A Second-Order Factor Structure Equation Modeling 期刊论文  OAI收割 SUSTAINABILITY, 2020, 卷号: 12, 期号: 17, 页码: 15 作者:  Li, Jiang;  Pan, Qiao;  Peng, You;  Feng, Tao;  Liu, Shaobo   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/03/16 urban wetland park  perceived quality  outdoor comfort  attitude toward green space  environmental satisfaction  second-order factor structural equation modeling   Image motion calculation and error distribution for aerial whisk-broom imaging 期刊论文  OAI收割 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 10, 页码: 2071-2079 作者:  L.-Z.Xu;  Y.C.-X;  L.Y;  G.Z.-Y   |  收藏  |  浏览/下载：24/0  |  提交时间：2020/08/24 Monte Carlo methods,Antennas,Errors,Image quality,Intelligent systems,Mirrors,Modulation,Optical transfer function,Reflection,Remote sensing,Structural design   Structural design of primary mirror subassembly for spatial gravitational wave telescope 期刊论文  OAI收割 Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2018, 卷号: 47, 期号: 8 作者:  Li, Yupeng;  Wang, Zhi;  Sha, Wei;  Wu, Qingwen;  Zhao, Ya   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/09/17 Optical testing  Gravitational effects  Gravity waves  Ground supports  Mirrors  Modal analysis  Optimization  Quality control  Structural design  Telescopes  Unloading  Vibration analysis  Wavefronts   Evaluation of Fermentation Dynamics and Structural Carbohydrate Degradation of Napiergrass Ensiled with Additives of Urea and Molasses SCI/SSCI论文  OAI收割 2013 Rong H.; Yu C. Q.; Li Z. H.; Shimojo M.; Shao T. 收藏  |  浏览/下载：38/0  |  提交时间：2014/12/24 Fermentation dynamics  Molasses  Napiergrass  Structural carbohydrate  Urea  chemical-composition  tropical grasses  silage additives  formic-acid  quality  juice  digestibility  temperatures  glucose  storage   Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China 作者:  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.   Image quality assessment based on gradient complex matrix (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Systems and Informatics, ICSAI 2012, May 19, 2012 - May 20, 2012, Yantai, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 An image quality assessment model based on gradient complex matrix is proposed. The vertical and horizontal gradient information of grayscale image is calculated. Complex number is used to construct the measuring matrix. Singular value decomposition is performed in order to obtain the main structure information of the image. The singular value feature vectors of the image gradient complex matrices corresponding to the reference image and the distorted image are used to measure the structural similarity of the two images. PSNR is taken as a tool to evaluate the gradient distribution similarity. Their properties are analyzed by using LIVE database and nonlinearity regression function. 2012 IEEE.   Local variance based color image quality assessment method (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 In this paper  local variance is used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is enhanced by using local variance distribution. It encodes the local variance distribution of different channels of a color image into the three imaginary parts of a quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods.